Image quality assessment through brain signal analysis

Hubert Cecotti, Bryan Gardiner

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The presence of noise in images has a key impact on the difficulty of visual target detection tasks. In this study, we propose to explore the potential of brain signal analysis for discriminating the level of noise in a sequence of images. The data were recorded using a magnetoencephalography from four healthy individuals during a rapid serial visual presentation task in four conditions corresponding to four different levels of noise in the images. The results indicate a clear link between behavioural performance, single-trial detection, and noise level.
LanguageEnglish
Title of host publicationUnknown Host Publication
Pages69-70
Number of pages2
Publication statusPublished - 26 Aug 2016
EventIrish Machine Vision and Image Processing conference - NUI Galway, Ireland
Duration: 26 Aug 2016 → …

Conference

ConferenceIrish Machine Vision and Image Processing conference
Period26/08/16 → …

Fingerprint

Magnetoencephalography
Signal analysis
Target tracking
Image quality
Brain

Keywords

  • Noise estimation
  • Brain-Machine Interface
  • Magnetoencephalography.

Cite this

Cecotti, H., & Gardiner, B. (2016). Image quality assessment through brain signal analysis. In Unknown Host Publication (pp. 69-70)
Cecotti, Hubert ; Gardiner, Bryan. / Image quality assessment through brain signal analysis. Unknown Host Publication. 2016. pp. 69-70
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abstract = "The presence of noise in images has a key impact on the difficulty of visual target detection tasks. In this study, we propose to explore the potential of brain signal analysis for discriminating the level of noise in a sequence of images. The data were recorded using a magnetoencephalography from four healthy individuals during a rapid serial visual presentation task in four conditions corresponding to four different levels of noise in the images. The results indicate a clear link between behavioural performance, single-trial detection, and noise level.",
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Cecotti, H & Gardiner, B 2016, Image quality assessment through brain signal analysis. in Unknown Host Publication. pp. 69-70, Irish Machine Vision and Image Processing conference, 26/08/16.

Image quality assessment through brain signal analysis. / Cecotti, Hubert; Gardiner, Bryan.

Unknown Host Publication. 2016. p. 69-70.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - The presence of noise in images has a key impact on the difficulty of visual target detection tasks. In this study, we propose to explore the potential of brain signal analysis for discriminating the level of noise in a sequence of images. The data were recorded using a magnetoencephalography from four healthy individuals during a rapid serial visual presentation task in four conditions corresponding to four different levels of noise in the images. The results indicate a clear link between behavioural performance, single-trial detection, and noise level.

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Cecotti H, Gardiner B. Image quality assessment through brain signal analysis. In Unknown Host Publication. 2016. p. 69-70